Business Intelligence Dynamic SME. Business Intelligence
|
|
- Sharyl Wiggins
- 8 years ago
- Views:
Transcription
1 Dynamic SME Business Intelligence T h o m a s F e l i x K a r r a s c h
2 Agenda: 1. Definition 2. Advantages 3. Implementation 4. Recommendations 5. Attachments 6. Bibliography
3 1. Definition In today s business environment, the ability to create new knowledge and understand the market forces has become a crucial factor for the maintenance of market share and profitability. 1 This requires the ability to permanently retrieve, store, analyze and communicate data. The amount of data enterprises daily have to cope with has, however, constantly increased in the last years. Especially the internet has contributed to a never ending flow of data input, that has made it difficult for the management to capture the information relevant for proper decision making. As a result enterprises have developed a business intelligence (BI) KMT, which facilitates the retrieval of information out of data. 2 There are many different definitions for BI. While some differentiate between BI as the management for internal and CI for external data, 3 others define it as the ability to extract actionable insight from the internal and external data available to an organization, for the purpose of supporting decision making and improving corporate performance. (see illustration 3) 4 This thesis will follow the second definition and thus refers to BI as the integration of strategies, processes and techniques to generate actionable intelligence of dispersed and inhomogeneous data of an enterprise, the market or competitors. 5 BI can be hence understood as a supply chain process for data. It sources data from the organizational functions of an enterprise and the exterior, i.e. competitor or market data and converts it into actionable intelligence (see illustration 4). As a result BI helps to organize oceans of scattered data and extract all the relevant information needed by the management to take good business decisions. 6 With the increasingly turbulent economic environment, that demands enterprises to remain constantly updated on market movements, the role of BI in the business world has changed over the last years. From a basic subordinated tool 1 Cf. Kudyba, S./ Hoptroff, R. (2001), p Cf. Hannig, U. (2002), p Cf. Steyl, J. (2009): URL: see list of references. 4 Canes, M. (2009): URL: see list of references. 5 Cf. Institute for Business Intelligence (w/o Y.), URL: see list of references. 6 Cf. Harper, D. (w/o. Y.), URL: see list of references. 1
4 for the analysis of data, BI has emerged as complete new management approach which is imperative in the decision making process Advantages As many SMEs are merely owner-managed, decisions are mostly taken based on static reports, simple spreadsheets or instinct. While this routine is practicable if an SME is small and easily manageable, the method soon reaches its limit with quick market changes or intensifying competition, which demand decision making based on relevant and current information. 8 The BI tool facilitating the extraction of information from data and providing intelligence needed for strategic decision making, serves this need. 9 Through gaining information i.e. of a new product or service of a competitor, it enables enterprises to track the movements and changing strategies of the competition. Based on this, an Illustration 1: Business intelligence leads to the discovery of new opportunities enterprise is able to identify gaps in the market, which it can use to fill customer needs. 10 By gaining relevant information about the competitor, BI furthermore allows an enterprise to determine its Source: Original scene from the video. weaknesses and thus provides insight about the competitive position in the market environment. 11 As a result, BI provides an SME with a good overview 7 Cf. Olszak, C.M./ Ziemba, E. (2012), p Cf. Canes, M. (2009): URL: see list of references. 9 Cf. Guarda, T. et al. (2013), p. 187f. 10 Cf. Frost, S. (w/o Y.), URL: see list of references. 11 Cf. Bose, R. (2007), p. 511f. 2
5 over threats and opportunities in the market, based on which it can derive measurements for the improvement of its operations (see illustration 1). 12 Another advantage of BI is the ability to forecast trends. 13 Analytical techniques of BI identify relationships or unusual patterns in the obtained data and are hence able to visualize information that has not been recognized before. 14 By the discovery of these anomalies, an enterprise becomes aware of emerging trends and is able to adjust its strategy accordingly. The ability to discover patterns and relationships data also holds advantages for the customer service. Through the analysis of i.e. sales data, BI assesses the demography as well as habits of the customers and determines correlating products or services. As a result, BI offers valuable opportunities for up-selling 15 and cross-selling products 16. This allows an enterprise to streamline its marketing efforts, resulting in an improved customer experience and better use of resources Implementation Researchers have proposed many different approaches for the design of a BI process. This thesis will focus on the most commonly applied structure, which consists of five distinct phases (see illustration 2). 18 The process starts with the planning phase, in which the objectives for the process are set. 19 At this point it is important that the decision makers, for whose demand the process is ultimately created, communicate their intelligence needs, as these establish the foundation for the later phases. Based on 12 Cf. Vedder, R.G. et al. (1999), p Cf. Sangar, A.B./ Iahad, N.B.A. (2013), p Cf. Guarda, T. et al. (2013), p up-selling is a sales strategy in which the seller encourages a customer to purchase more expensive items or upgrades for a higher sales profit 16 cross-selling is the encouragement of an existing customer to purchase an additional product 17 Cf. Williams, S./ Williams, N. (2007), p Cf. McGonagle, J.J. (2007), p Cf. Morcillo, P. (2003), URL: see list of references. 3
6 these needs, key intelligence topics (KITs) can be created, which point out the topics of greatest interest for the achievement of the strategic goals of the company. 20 Once the KITs are defined, the process continues with the collection phase, in which the data has to be sourced and preprocessed. Here it is first of all important to match the available data sources with the KITs formulated in the planning phase. 21 This compliance with the intelligence needs is necessary to ensure that a correct decision can be taken based on the resourced data. Before collecting the data, the source should thus furthermore always be checked for Illustration 2: The business intelligence process Internal Sources External Sources Re-initiation of Process bases Decision Making Planning Collection Analysis Dissemination Feedback Define necessary data Collect data, data preprocessing, data analysis analysis, Project results Distribution Feedback Source: Own illustration based on Bose, R. (2007), p. 513; Guarda, T. et al. (w/o Y.), p. 187f. its suitability. 22 For the collection itself, SMEs have a large variety of potential sources at their disposal. They can i.e. source the data directly from interviews, focus groups or executives. The most recommendable source, is probably, however, the internet, as it has made research, i.e. on competitors, easy and affordable. Here the SME has the option to connect with experts, customers and suppliers or gather data from webpages, i.e. of competitors. While these 20 Cf. Krizan, L. (1999), URL: see list of references. 21 Cf. Bose, R. (2007), p Cf. Sangar, A.B./ Iahad, N.B.A. (2013), p
7 are all primary resources 23, an SME can furthermore tap secondary resources 24. For this purpose search engines and online subscription databases have become popular tools to collect data from commercial news organizations or news filtering services. 25 Lastly the collected data needs to be refined and structured for further analysis. 26 The next phase, the analysis phase, is the core stage and most critical part of the BI process. It differs from the collection process in the way, that its purpose is not to collect a set of data from diverse sources (i.e. internet, internal or external databases), but to illustrate the significance of a predefined data set. 27 To do so the refined data collected before is systematically examined, analyzed and validated. 28 The main activity consists of mining the data 29 to identify patterns and relationships for the extraction of actionable intelligence. 30 SMEs often encounter difficulties performing this task, as they are not able to afford the complex BI infrastructures of larger companies (see illustration 5). Nowadays, however, there are many possible alternatives. Open source software for instance is often available online at no cost and thus offers the SMEs an opportunity to start mining data without committing to a large investment. 31 Once the intelligence has successfully been extracted, it needs to be disseminated. In this stage the extracted intelligence is reported back to management through meetings, reports or dashboards, providing insight on the KITs. For this purpose it is essential that the report is visualized an easy-to-understand format so possible misunderstandings can be avoided. 32 Provided with the intelligence on the KITs, the decision makers are then able to take action. Besides for 23 Primary sources are first hand sources that provide direct evidence of a topic. 24 Secondary sources interpret or analyze primary sources and are thus one step remote from the event. 25 Cf. Botha, A.P. (2007), p Cf. Barnard, S. (w/o Y.), URL: see list of references. 27 Cf. Krizan, L. (1999), URL: see list of references. 28 Cf. Sangar, A.B./ Iahad, N.B.A. (2013), p data mining is a set of activities to identify hidden relationships in data. 30 Cf. Miller, S.H. (2001), URL: see list of references. 31 Cf. Chen, X. et al. (2007), p Cf. Miller, S.H. (2001), URL: see list of references. 5
8 decision making, the intelligence may also serve for further analyses such as competitor profiling, scenario planning or scenario analyses. The process is concluded with the feedback of the executives. It includes an assessment of the quality and accuracy of the intelligence as well as guidance for the analyst of how the process can be improved in the future. 33 A BI process thus has to be understood as iterative in the sense that it permanently repeats upon completion and is always subject to improvement Recommendations As many enterprises are opposed to change or new technology, the support from top management is a critical factor for the success of BI. A dedicated management which endorses the BI process ensures financial resources and effective project management. 35 It is thus the responsibility for those involved in an intelligence program to convince the senior executives of its usefulness. They should be encouraged to use the system actively instead of contemplating it just as another reactive management resource. 36 Besides its endorsement for BI as a system, it is important that the top management considers the intelligence program an iterative process rather than a one time project. 37 This continuity is essential, as strategic planning requires long-term intelligence and a continuous basis of information. Closely connected to continuity are also other critical success factors. A culture of trust and cross-organizational collaboration, i.e. is vital for the effective knowledge exchange and thus critical to transform knowledge of an individual into organizational knowledge. Especially in SMEs, that rely mostly on tacit knowledge, knowledge workers can only be replaced to a certain extent. A col- 33 Cf. Bose, R. (2007), p Cf. William, Y./ Koronios, A. (2010), p. 23ff. 35 Cf. William, Y./ Koronios, A. (2010), p. 23ff. 36 Cf. Global Intelligence Alliance (2004), URL: see list of references. 37 Cf. William, Y./ Koronios, A. (2010), p. 23ff. 6
9 laborative culture facilitates a healthy flow of information within the organization, which is needed to make the collected and analyzed information about customers, competition, market conditions, vendors, partners, products and employees available at all levels. 38 A properly functioning BI process in this sense also requires the utilization of tools and applications. They not only facilitate the collaboration by providing means to communicate the intelligence within the organization, but furthermore encourage BI users to produce content themselves. In the end, it should, however, always be clear to an enterprise that tools merely support the managing knowledge process and that BI can consequently only be successful, if the knowledge and skills of the people are used effectively Cf. Atre, S. (2003), URL: see list of references. 39 Cf. Global Intelligence Alliance (2004), URL: see list of references. 7
10 5. Attachments Illustration 3: Definition of Business Intelligence Sourcing Processing Visualization Internal Sources External Sources Intelligence Integration from Departments and External Sources Intelligent Analysis Dissemination Source: Own illustration. 8
11 Illustration 4: The business intelligence value chain Increasing potential to support business decisions Action Insight Knowledge Information Source: Own illustration. 9
12 Illustration 5: The architecture of business intelligence Internal Sources (ERP Systems) External Sources (Internet) Standardized Reporting Ad-hoc Reporting Mining ETL-Tools Extract OLAP Tools Transfer - Convert - Filter - Aggregate Load Warehouse Mart Meta- Bank Archive Source: Own illustration based on Hannig, U. (2002), p
13 6. Bibliography Barnard, S. (w/o Y.): Business intelligence for SMEs, in: df (accessed 09/25/2013). Bose, R. (2007): Competitive intelligence process and tools for intelligence analysis, in: Industrial Management and Systems, Vol. 108, No. 4, p Botha, A.P. (2007): Knowledge - living and working with it, Cape Town, South Africa. Canes, M. (2009): Business Intelligence for the SME, in: he-sme.pdf (online publication from 15/10/2009; accessed 09/23/2013). Chen, X./ Ye, Y./ Williams, G./ Xu, X. (2007): A Survey of Open Source Mining Systems, in: Washio, T./ Zhou, Z.H./ Huang, J.Z./ Hu, X./ Li, J./ Xie, C./ He, J./ Zou, D./ Li, K.C./ Freire, M.M. (eds.) (2007): Emerging Technologies in Knowledge Discovery and Mining, Berlin; Heidelberg, Germany. Frost, S. (w/o Y.): What Are the Benefits of a Competitive Intelligence Organization?, in: html (accessed 09/24/2013). Global Intelligence Alliance (2004): Key Success Factors of Competitive Intelligence, in: _ [1].pdf (online publication from 04/2004; accessed 09/26/2013). Guarda, T./ Santos, M./ Pinto, F./ Augusto, M./ Silva, C. (2013): Business Intelligence as a Competitive Advantage in SMEs, in: International Journal of Trade, Economics and Finance, Vol. 4, No. 4, p
14 Hannig, U. (2002): Knowledge Management und Business Intelligence, Berlin, Germany et al. Harper, D. (w/o. Y.): Surveying The Business Intelligence Space, in: (accessed 09/05/2013). Krizan, L. (1999): Intelligence essentials for everyone, Occasional Paper Series, No. 6, Joint Military Intelligence College, Washington, DC, in: (online publication from 06/1999; accessed 09/25/2013). Kudyba, S./ Hoptroff, R. (2001): Mining and Business Intelligence - A Guide to Productivity, London, UK. Institute for Business Intelligence (w/o Y.): Verständnis von Business Intelligence, in: (accessed 09/23/2013). McGonagle, J.J. (2007): An Examination of the ʹClassicʹ CI Model, in: Journal of Competitive Intelligence and Management, Vol. 4, No. 2, p Miller, S.H. (2001): Competitive Intelligence An Overview, in: Articles/CI%20Overview.pdf (accessed 09/25/2013). Morcillo, P. (2003): Vigilancia e inteligencia competitiva: fundamentos e implicaciones, in: (online publication from 06/2003; accessed 09/25/2013). Olszak, C.M./ Ziemba, E. (2012): Critical Success Factors for Implementing Business Intelligence Systems in Small and Medium Enterprises on the Example of Upper Silesia, Poland, in: Interdisciplinary Journal of Information, Knowledge, and Management, Vol. 7, No. 3, p
15 Sangar, A.B./ Iahad, N.B.A. (2013): Critical Factors That Affect The Success Of Business Intelligence Systems (BIS) Implementation In An Organization, in: International Journal of Scientific & Technology Research, Vol. 2, No. 2, p Steyl, J. (2009): Business Intelligence vs. Competitive Intelligence, in: nce (online publication from: 06/22/2009; accessed on 09/23/2013). Vedder, R.G./ Vanecek, M.T./ Guynes, C.S./ Cappel, J.J. (1999): CEO and CIO perspectives on competitive intelligence, in: Communications of the ACM, Vol. 42, No. 8, p William, Y./ Koronios, A. (2010): Critical Success Factor for Business Intelligence Systems, in: Journal of Computer Information System, Vol. 50, No. 3, p Williams, S./ Williams, N. (2007): The Profit Impact of Business Intelligence, San Francisco, USA. 13
Miracle Integrating Knowledge Management and Business Intelligence
ALLGEMEINE FORST UND JAGDZEITUNG (ISSN: 0002-5852) Available online www.sauerlander-verlag.com/ Miracle Integrating Knowledge Management and Business Intelligence Nursel van der Haas Technical University
More informationManagement Accountants and IT Professionals providing Better Information = BI = Business Intelligence. Peter Simons peter.simons@cimaglobal.
Management Accountants and IT Professionals providing Better Information = BI = Business Intelligence Peter Simons peter.simons@cimaglobal.com Agenda Management Accountants? The need for Better Information
More informationUniversity of Gaziantep, Department of Business Administration
University of Gaziantep, Department of Business Administration The extensive use of information technology enables organizations to collect huge amounts of data about almost every aspect of their businesses.
More informationEzgi Dinçerden. Marmara University, Istanbul, Turkey
Economics World, Mar.-Apr. 2016, Vol. 4, No. 2, 60-65 doi: 10.17265/2328-7144/2016.02.002 D DAVID PUBLISHING The Effects of Business Intelligence on Strategic Management of Enterprises Ezgi Dinçerden Marmara
More informationA collaborative approach of Business Intelligence systems
A collaborative approach of Business Intelligence systems Gheorghe MATEI, PhD Romanian Commercial Bank, Bucharest, Romania george.matei@bcr.ro Abstract: To succeed in the context of a global and dynamic
More informationOverview, Goals, & Introductions
Improving the Retail Experience with Predictive Analytics www.spss.com/perspectives Overview, Goals, & Introductions Goal: To present the Retail Business Maturity Model Equip you with a plan of attack
More informationIntroduction to Business Intelligence
IBM Software Group Introduction to Business Intelligence Vince Leat ASEAN SW Group 2007 IBM Corporation Discussion IBM Software Group What is Business Intelligence BI Vision Evolution Business Intelligence
More informationA Knowledge Management Framework Using Business Intelligence Solutions
www.ijcsi.org 102 A Knowledge Management Framework Using Business Intelligence Solutions Marwa Gadu 1 and Prof. Dr. Nashaat El-Khameesy 2 1 Computer and Information Systems Department, Sadat Academy For
More informationApplication of Business Intelligence in Transportation for a Transportation Service Provider
Application of Business Intelligence in Transportation for a Transportation Service Provider Mohamed Sheriff Business Analyst Satyam Computer Services Ltd Email: mohameda_sheriff@satyam.com, mail2sheriff@sify.com
More informationHow To Build A Business Intelligence System In Stock Exchange
Australian Journal of Basic and Applied Sciences, 5(6): 1491-1495, 2011 ISSN 1991-8178 An Approach to Building and Implementation of Business Intelligence System in Exchange Stock Companies Sherej Sharifi
More informationMaking Business Intelligence Relevant for Mid-sized Companies. Improving Business Results through Performance Management
Making Business Intelligence Relevant for Mid-sized Companies Improving Business Results through Performance Management mydials Inc. 2009 www.mydials.com - 1 Contents Contents... 2 Executive Summary...
More informationEnhancing Decision Making
Enhancing Decision Making Content Describe the different types of decisions and how the decision-making process works. Explain how information systems support the activities of managers and management
More informationOPTIMIZING BUSINESS INTELLIGENCE SOLUTION FOR BANIKING IN ALBANIA
OPTIMIZING BUSINESS INTELLIGENCE SOLUTION FOR BANIKING IN ALBANIA Blerta Moçka 1, Gudar Beqiraj 2, Daniel Leka 3 1 Head of Department of Information Technology, Faculty of Business and Technology, Kristal
More informationInnovation. Simplifying BI. On-Demand. Mobility. Quality. Innovative
Innovation Simplifying BI On-Demand Mobility Quality Innovative BUSINESS INTELLIGENCE FACTORY Advantages of using our technologies and services: Huge cost saving for BI application development. Any small
More informationSupply chain intelligence: benefits, techniques and future trends
MEB 2010 8 th International Conference on Management, Enterprise and Benchmarking June 4 5, 2010 Budapest, Hungary Supply chain intelligence: benefits, techniques and future trends Zoltán Bátori Óbuda
More informationHealthcare Measurement Analysis Using Data mining Techniques
www.ijecs.in International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume 03 Issue 07 July, 2014 Page No. 7058-7064 Healthcare Measurement Analysis Using Data mining Techniques 1 Dr.A.Shaik
More informationBusiness Intelligence for the SME
Business Intelligence for the SME White Paper Mark Canes ABSTRACT A white paper explaining why Business Intelligence is becoming important to small and mid-size businesses in order to enhance fast and
More informationDatabase Marketing simplified through Data Mining
Database Marketing simplified through Data Mining Author*: Dr. Ing. Arnfried Ossen, Head of the Data Mining/Marketing Analysis Competence Center, Private Banking Division, Deutsche Bank, Frankfurt, Germany
More informationBusiness Intelligence. A Presentation of the Current Lead Solutions and a Comparative Analysis of the Main Providers
60 Business Intelligence. A Presentation of the Current Lead Solutions and a Comparative Analysis of the Main Providers Business Intelligence. A Presentation of the Current Lead Solutions and a Comparative
More informationwww.sryas.com Analance Data Integration Technical Whitepaper
Analance Data Integration Technical Whitepaper Executive Summary Business Intelligence is a thriving discipline in the marvelous era of computing in which we live. It s the process of analyzing and exploring
More informationDATA ANALYSIS USING BUSINESS INTELLIGENCE TOOL. A Thesis. Presented to the. Faculty of. San Diego State University. In Partial Fulfillment
DATA ANALYSIS USING BUSINESS INTELLIGENCE TOOL A Thesis Presented to the Faculty of San Diego State University In Partial Fulfillment of the Requirements for the Degree Master of Science in Computer Science
More informationData Warehousing and Data Mining in Business Applications
133 Data Warehousing and Data Mining in Business Applications Eesha Goel CSE Deptt. GZS-PTU Campus, Bathinda. Abstract Information technology is now required in all aspect of our lives that helps in business
More informationOLAP Theory-English version
OLAP Theory-English version On-Line Analytical processing (Business Intelligence) [Ing.J.Skorkovský,CSc.] Department of corporate economy Agenda The Market Why OLAP (On-Line-Analytic-Processing Introduction
More informationTHE INTELLIGENT BUSINESS INTELLIGENCE SOLUTIONS
THE INTELLIGENT BUSINESS INTELLIGENCE SOLUTIONS ADRIAN COJOCARIU, CRISTINA OFELIA STANCIU TIBISCUS UNIVERSITY OF TIMIŞOARA, FACULTY OF ECONOMIC SCIENCE, DALIEI STR, 1/A, TIMIŞOARA, 300558, ROMANIA ofelia.stanciu@gmail.com,
More informationMicrosoft Services Exceed your business with Microsoft SharePoint Server 2010
Microsoft Services Exceed your business with Microsoft SharePoint Server 2010 Business Intelligence Suite Alexandre Mendeiros, SQL Server Premier Field Engineer January 2012 Agenda Microsoft Business Intelligence
More informationThe Role of the BI Competency Center in Maximizing Organizational Performance
The Role of the BI Competency Center in Maximizing Organizational Performance Gloria J. Miller Dr. Andreas Eckert MaxMetrics GmbH October 16, 2008 Topics The Role of the BI Competency Center Responsibilites
More informationThe Ultimate Guide to Buying Business Analytics
The Ultimate Guide to Buying Business Analytics How to Evaluate a BI Solution for Your Small or Medium Sized Business: What Questions to Ask and What to Look For Copyright 2012 Pentaho Corporation. Redistribution
More informationPOLAR IT SERVICES. Business Intelligence Project Methodology
POLAR IT SERVICES Business Intelligence Project Methodology Table of Contents 1. Overview... 2 2. Visualize... 3 3. Planning and Architecture... 4 3.1 Define Requirements... 4 3.1.1 Define Attributes...
More informationBanking on Business Intelligence (BI)
Banking on Business Intelligence (BI) Building a business case for the Kenyan Banking Sector The new banking environment in Kenya is all about differentiating banking products, increased choices, security
More informationAdvanced Analytics. The Way Forward for Businesses. Dr. Sujatha R Upadhyaya
Advanced Analytics The Way Forward for Businesses Dr. Sujatha R Upadhyaya Nov 2009 Advanced Analytics Adding Value to Every Business In this tough and competitive market, businesses are fighting to gain
More informationBusiness Intelligence
Business Intelligence What is it? Why do you need it? This white paper at a glance This whitepaper discusses Professional Advantage s approach to Business Intelligence. It also looks at the business value
More informationThe Ultimate Guide to Buying Business Analytics
The Ultimate Guide to Buying Business Analytics How to Evaluate a BI Solution for Your Small or Medium Sized Business: What Questions to Ask and What to Look For Copyright 2012 Pentaho Corporation. Redistribution
More informationData Visualization An Outlook on Disruptive Techniques (Technical Insights)
Data Visualization An Outlook on Disruptive Techniques (Technical Insights) Comprehend Complex Data Sets through Visual Representations June 2014 Contents Section Slide Numbers Executive Summary 3 Research
More informationThe Future of Business Analytics is Now! 2013 IBM Corporation
The Future of Business Analytics is Now! 1 The pressures on organizations are at a point where analytics has evolved from a business initiative to a BUSINESS IMPERATIVE More organization are using analytics
More informationLocation Analytics for Financial Services. An Esri White Paper October 2013
Location Analytics for Financial Services An Esri White Paper October 2013 Copyright 2013 Esri All rights reserved. Printed in the United States of America. The information contained in this document is
More informationCompetitive Advantage through Business Intelligence for E-Commerce
Competitive Advantage through Business Intelligence for E-Commerce T.Aditya Kumar #1, G.Sravanthi #2, Dr.D.Ratna Deepthi #3 Student #1, CSE,Geethanjali College of Engineering and Technology Keesara,Hyderabad,
More informationCONCEPTUALIZING BUSINESS INTELLIGENCE ARCHITECTURE MOHAMMAD SHARIAT, Florida A&M University ROSCOE HIGHTOWER, JR., Florida A&M University
CONCEPTUALIZING BUSINESS INTELLIGENCE ARCHITECTURE MOHAMMAD SHARIAT, Florida A&M University ROSCOE HIGHTOWER, JR., Florida A&M University Given today s business environment, at times a corporate executive
More informationTechnology-Driven Demand and e- Customer Relationship Management e-crm
E-Banking and Payment System Technology-Driven Demand and e- Customer Relationship Management e-crm Sittikorn Direksoonthorn Assumption University 1/2004 E-Banking and Payment System Quick Win Agenda Data
More informationBusiness Intelligence Osvaldo Maysonet VP Marketing & Customer Knowledge Banco Popular
Business Intelligence Osvaldo Maysonet VP Marketing & Customer Knowledge Banco Popular Starting Questions How many of you have more information today and spend more time gathering and preparing the information
More informationTapping the benefits of business analytics and optimization
IBM Sales and Distribution Chemicals and Petroleum White Paper Tapping the benefits of business analytics and optimization A rich source of intelligence for the chemicals and petroleum industries 2 Tapping
More informationHow SAP Business Intelligence Solutions provide real-time insight into your organization
How SAP Business Intelligence Solutions provide real-time insight into your organization 28 Oct 2015 Agenda 1) What is Business Intelligence (BI) 2) SAP BusinessObjects Features Overview 3) Demo & Report
More informationThe Clear Path to Business Intelligence
SAP Solution in Detail SAP Solutions for Small Businesses and Midsize Companies SAP Crystal Solutions The Clear Path to Business Intelligence Table of Contents 3 Quick Facts 4 Optimize Decisions with SAP
More informationWinning with an Intuitive Business Intelligence Solution for Midsize Companies
SAP Product Brief SAP s for Small Businesses and Midsize Companies SAP BusinessObjects Business Intelligence, Edge Edition Objectives Winning with an Intuitive Business Intelligence for Midsize Companies
More informationHanumat G. Sastry Dept of Computer Science School of Science and Technology Dravidian University India-517 425 sastrygh2000@yahoo.
Universal Journal of Computer Science and Engineering Technology 1 (2), 112-116, Nov. 2010. 2010 UniCSE, ISSN: 2219-2158 A Novel Business Intelligence System Framework Venkatadri. M Dept of Computer Science
More informationIngres Insights. with Open Source Software
Ingres Insights DElivering Business intelligence with Open Source Software TABLE OF CONTENTS 3 Preface 4 Balanced Scorecards 5 Business Optimization 6 Business Intelligence (BI) 7 BI Examples 8 The Challenges
More informationA business intelligence agenda for midsize organizations: Six strategies for success
IBM Software Business Analytics IBM Cognos Business Intelligence A business intelligence agenda for midsize organizations: Six strategies for success A business intelligence agenda for midsize organizations:
More informationDelivering Business Intelligence with Open Source Software
Delivering Business Intelligence with Open Source Software WHITE PAPER by Chip Nickolett, Ingres Corporation Ingres Business Intelligence Series Table of Contents Preface...3 Balanced Scorecards...4 Business
More informationCOMPETITIVE INTELLIGENCE
COMPETITIVE INTELLIGENCE GOVOREANU Alexandru MORA Andreea ŞERBAN Anca Abstract: There are many challenges to face in this century. It s an era of information. Those who have the best information are going
More informationThe Role of Data Warehousing Concept for Improved Organizations Performance and Decision Making
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 3, Issue. 10, October 2014,
More informationData Search. Searching and Finding information in Unstructured and Structured Data Sources
1 Data Search Searching and Finding information in Unstructured and Structured Data Sources Erik Fransen Senior Business Consultant 11.00-12.00 P.M. November, 3 IRM UK, DW/BI 2009, London Centennium BI
More informationFaun dehenry FMT Systems Inc. faun.dehenry@fmtsystems.com. 2001-9, FMT Systems Inc. All rights reserved.
Assessing BI Readiness Faun dehenry FMT Systems Inc. faun.dehenry@fmtsystems.com Agenda Introduction What is BI Organizational considerations Successful implementations BI assessment defined and assessment
More informationBIG DATA ANALYTICS REFERENCE ARCHITECTURES AND CASE STUDIES
BIG DATA ANALYTICS REFERENCE ARCHITECTURES AND CASE STUDIES Relational vs. Non-Relational Architecture Relational Non-Relational Rational Predictable Traditional Agile Flexible Modern 2 Agenda Big Data
More informationwww.ducenit.com Analance Data Integration Technical Whitepaper
Analance Data Integration Technical Whitepaper Executive Summary Business Intelligence is a thriving discipline in the marvelous era of computing in which we live. It s the process of analyzing and exploring
More informationSolve your toughest challenges with data mining
IBM Software IBM SPSS Modeler Solve your toughest challenges with data mining Use predictive intelligence to make good decisions faster Solve your toughest challenges with data mining Imagine if you could
More informationBUSINESS INTELLIGENCE. Keywords: business intelligence, architecture, concepts, dashboards, ETL, data mining
BUSINESS INTELLIGENCE Bogdan Mohor Dumitrita 1 Abstract A Business Intelligence (BI)-driven approach can be very effective in implementing business transformation programs within an enterprise framework.
More informationNagarjuna College Of
Nagarjuna College Of Information Technology (Bachelor in Information Management) TRIBHUVAN UNIVERSITY Project Report on World s successful data mining and data warehousing projects Submitted By: Submitted
More informationCompetitive Intelligence and Marketing Effectiveness of Organizations: An Investigation from Pakistan
Middle-East Journal of Scientific Research 22 (10): 1565-1570, 2014 ISSN 1990-9233 IDOSI Publications, 2014 DOI: 10.5829/idosi.mejsr.2014.22.10.21495 Competitive Intelligence and Marketing Effectiveness
More informationBig Data Strategies Creating Customer Value In Utilities
Big Data Strategies Creating Customer Value In Utilities National Conference ICT For Energy And Utilities Sofia, October 2013 Valery Peykov Country CIO Bulgaria Veolia Environnement 17.10.2013 г. One Core
More informationINTELLIGENCE AND HOMELAND DEFENSE INSIGHT
I N D U S T R Y INTELLIGENCE AND HOMELAND DEFENSE INSIGHT INTELLIGENCE AND HOMELAND DEFENSE CHALLENGES The Intelligence Community (IC) needs the right information, in real time, to make critical decisions.
More informationHarness Your SAP Data with User-Driven Dashboards
AUGUST 2010 Harness Your SAP Data with User-Driven Dashboards Sponsored by Contents Introduction 1 The Problems of Big BI 2 The Road to Big BI 2 Unacceptable Delays 3 Big BI and Sticky Information 4 Power
More informationGenesee Health System RFI-Business Intelligence & Analytics with Dashboard Reporting Questions and Answers
Genesee Health System RFI-Business Intelligence & Analytics with Dashboard Reporting Questions and Answers 1. Is there any other information required other than that listed in Section II? Respondents must
More informationPreferred Strategies: Business Intelligence for JD Edwards
Preferred Strategies: Business Intelligence for JD Edwards For the fourth year in a row, Business Intelligence software tops the list for IT investments according to Gartner Research. If you are not currently
More informationTOWARDS A FRAMEWORK FOR PROJECT MANAGEMENT INTELLIGENCE (PMInt) Robert Hans PhD Student at University of South Africa Supervised by Prof E Mnkandla
TOWARDS A FRAMEWORK FOR PROJECT MANAGEMENT INTELLIGENCE (PMInt) Robert Hans PhD Student at University of South Africa Supervised by Prof E Mnkandla AGENDA Background Purpose of the study Foundation of
More informationBest Practices for Deploying Managed Self-Service Analytics and Why Tableau and QlikView Fall Short
Best Practices for Deploying Managed Self-Service Analytics and Why Tableau and QlikView Fall Short Vijay Anand, Director, Product Marketing Agenda 1. Managed self-service» The need of managed self-service»
More informationChapter 4 Getting Started with Business Intelligence
Chapter 4 Getting Started with Business Intelligence Learning Objectives and Learning Outcomes Learning Objectives Getting started on Business Intelligence 1. Understanding Business Intelligence 2. The
More informationApplied Business Intelligence. Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA
Applied Business Intelligence Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA Agenda Business Drivers and Perspectives Technology & Analytical Applications Trends Challenges
More informationCreate Mobile, Compelling Dashboards with Trusted Business Warehouse Data
SAP Brief SAP BusinessObjects Business Intelligence s SAP BusinessObjects Design Studio Objectives Create Mobile, Compelling Dashboards with Trusted Business Warehouse Data Increase the value of data with
More informationMANAGEMENT OF COMPETITIVE INTELLIGENCE COURSE
MANAGEMENT OF COMPETITIVE INTELLIGENCE COURSE Introduction: Competitive analysis is critical for managers formulating corporate or divisional strategies. Executives and planners must be aware of the levels
More informationCONNECTING DATA WITH BUSINESS
CONNECTING DATA WITH BUSINESS Big Data and Data Science consulting Business Value through Data Knowledge Synergic Partners is a specialized Big Data, Data Science and Data Engineering consultancy firm
More informationBIG Data Analytics Move to Competitive Advantage
BIG Data Analytics Move to Competitive Advantage where is technology heading today Standardization Open Source Automation Scalability Cloud Computing Mobility Smartphones/ tablets Internet of Things Wireless
More informationData Management Practices for Intelligent Asset Management in a Public Water Utility
Data Management Practices for Intelligent Asset Management in a Public Water Utility Author: Rod van Buskirk, Ph.D. Introduction Concerned about potential failure of aging infrastructure, water and wastewater
More informationBusiness Analytics and Data Visualization. Decision Support Systems Chattrakul Sombattheera
Business Analytics and Data Visualization Decision Support Systems Chattrakul Sombattheera Agenda Business Analytics (BA): Overview Online Analytical Processing (OLAP) Reports and Queries Multidimensionality
More informationINTELLIGENT RISK MANAGEMENT - A NEW PRINCIPLE IN RISK MANAGEMENT BASED ON USING BI IN RM
INTELLIGENT RISK MANAGEMENT - A NEW PRINCIPLE IN RISK MANAGEMENT BASED ON USING BI IN RM Valentin Petru Măzăreanu 1 Abstract The need for a system able to store information about the risks faced by the
More informationSession 805 -End-to-End SAP Lumira: Desktop to On-Premise, Cloud, and Mobile
September 9 11, 2013 Anaheim, California Session 805 -End-to-End SAP Lumira: Desktop to On-Premise, Cloud, and Mobile Ashish C. Morzaria, SAP Disclaimer This presentation outlines our general product direction
More informationUNIFY YOUR (BIG) DATA
UNIFY YOUR (BIG) DATA ANALYTIC STRATEGY GIVE ANY USER ANY ANALYTIC ON ANY DATA Scott Gnau President, Teradata Labs scott.gnau@teradata.com t Unify Your (Big) Data Analytic Strategy Technology excitement:
More informationBusiness Intelligence
WHITEPAPER Business Intelligence Solution for Clubs This whitepaper at a glance This whitepaper discusses the business value of implementing a business intelligence solution at clubs and provides a brief
More informationBusiness Intelligence Project Management 101
Business Intelligence Project Management 101 Managing BI Projects within the PMI Process Groups Too many times, Business Intelligence (BI) and Data Warehousing project managers are ill-equipped to handle
More informationTapping the Power. of Service Analytics
Tapping the Power WHITEPAPER of Service Analytics An Astea International White Paper 1 Introduction Field service organizations now have access to an unprecedented amount of data about the performance
More informationFast and Easy Delivery of Data Mining Insights to Reporting Systems
Fast and Easy Delivery of Data Mining Insights to Reporting Systems Ruben Pulido, Christoph Sieb rpulido@de.ibm.com, christoph.sieb@de.ibm.com Abstract: During the last decade data mining and predictive
More informationAnimation. Intelligence. Business. Computer. Areas of Focus. Master of Science Degree Program
Business Intelligence Computer Animation Master of Science Degree Program The Bachelor explosive of growth Science of Degree from the Program Internet, social networks, business networks, as well as the
More informationThe Opportunities of the Use of Competitive Intelligence in Business: Literature Review
Journal of Small Business and Entrepreneurship Development, Vol. 1 No. 2, December 2013 9 The Opportunities of the Use of Competitive Intelligence in Business: Literature Review Assoc. Prof. Ligita Gaspareniene
More informationData Mining Solutions for the Business Environment
Database Systems Journal vol. IV, no. 4/2013 21 Data Mining Solutions for the Business Environment Ruxandra PETRE University of Economic Studies, Bucharest, Romania ruxandra_stefania.petre@yahoo.com Over
More informationWhat s Trending in Analytics for the Consumer Packaged Goods Industry?
What s Trending in Analytics for the Consumer Packaged Goods Industry? The 2014 Accenture CPG Analytics European Survey Shows How Executives Are Using Analytics, and Where They Expect to Get the Most Value
More informationLUCRĂRI ŞTIINŢIFICE, SERIA I, VOL. XI (2) THE IMPORTANCE OF INTELLIGENT SOLUTIONS OF ANALYSIS AND REPORT FOR TRAVEL AGENCIES
LUCRĂRI ŞTIINŢIFICE, SERIA I, VOL. XI (2) THE IMPORTANCE OF INTELLIGENT SOLUTIONS OF ANALYSIS AND REPORT FOR TRAVEL AGENCIES IMPORTANŢA SOLUŢIILOR INTELIGENTE DE ANALIZĂ ŞI RAPORTARE PENTRU AGENŢIILE DE
More informationIs Business Intelligence an Oxymoron?
Is Business Intelligence an Oxymoron? Presentation by Agenda A Quiz! BI Definition and Concepts Components of a BI Solution Project Methodology Business Analysis BI Products BI Roadmap (time permitting)
More informationIntegrated Financial Forecasting and Planning Performance Blueprint Powered by TM1
IBM Software Business Analytics Application Brief Cognos Software Integrated Financial Forecasting and Planning Performance Blueprint Powered by TM1 2 Integrated Financial Forecasting and Planning Performance
More informationTest Validations for Next Generation Business Intelligence
Test Validations for Next Generation Business Intelligence International Software Testing Conference 2012 Anusha Jaya Murthy Yerraguntla Infosys Limited (NASDAQ: INFY) 1 Abstract Traditional BI approaches
More informationDatabase Marketing, Business Intelligence and Knowledge Discovery
Database Marketing, Business Intelligence and Knowledge Discovery Note: Using material from Tan / Steinbach / Kumar (2005) Introduction to Data Mining,, Addison Wesley; and Cios / Pedrycz / Swiniarski
More informationTop 5 Analytics Applications in Financial Services
Top 5 Analytics Applications in Financial Services Learn how you can boost your bottom line, manage risk, and take action on your insights with the world s most comprehensive analytics platform. 5 game-changing
More informationSUCCESSFUL IMPLEMENTATION OF BUSINESS INTELLIGENCE AS A TOOL FOR COMPANY MANAGEMENT Tomáš Mandičák, Peter Mesároš, Karol Hrubý. INTRODUCTION Nowadays, situation on the markets is not easy for companies.
More informationEnhancing e-business Through Web Data Mining
Enhancing e-business Through Web Data Mining Amy Shi 1, Allen Long 2, and David Newcomb 3 1 Accurate Business Solutions, Courtyard, Denmark Street, Wokingham, RG 40 2AZ, U.K. amy.shi@accurate.uk.com 2
More informationGo to Market with a New Analytic Product in Just 8 Weeks.
Go to Market with a New Analytic Product in Just 8 Weeks. A C A S E S T U D Y 8GTM Go to market with a new analytic product in just 8 weeks 500K Over half million in new revenue directly tied into analytics
More informationTop 5 Transformative Analytics Applications in Retail
Top 5 Transformative Analytics Applications in Retail Learn how you can boost your bottom line and acquire engaged, happy customers with actionable insight from the world s most comprehensive analytics
More informationDeveloping a CRM Platform: a Bulgarian case
Developing a CRM Platform: a Bulgarian case SOFIYA VACHKOVA OmegaSoft Ltd. 51 Aleksandar Malinov Blvd., 1712 Sofia BULGARIA sophy.v@gmail.com http://www.omegasoft.bg ELISSAVETA GOUROVA Faculty of Mathematics
More information2.0 COMMON FORMS OF DATA VISUALIZATION
The Importance of Data Visualization to Business Decision Making by Rebeckah Blewett, Product Manager, Dundas Data Visualization, Inc.Sunday, June 12, 2011 1.0 INTRODUCTION Informed decision making is
More informationEvaluation of Business Intelligence Maturity Level in Albania Banking Systems
Evaluation of Business Intelligence Maturity Level in Albania Banking Systems Blerta Moçka 1*, Gudar Beqiraj 2 and Daniel Leka 3 Faculty of Economy and Agribusiness, Agricultural University of Tirana,
More informationDevelopment of Framework System for Managing the Big Data from Scientific and Technological Text Archives
Development of Framework System for Managing the Big Data from Scientific and Technological Text Archives Mi-Nyeong Hwang 1, Myunggwon Hwang 1, Ha-Neul Yeom 1,4, Kwang-Young Kim 2, Su-Mi Shin 3, Taehong
More informationChapter 6 - Enhancing Business Intelligence Using Information Systems
Chapter 6 - Enhancing Business Intelligence Using Information Systems Managers need high-quality and timely information to support decision making Copyright 2014 Pearson Education, Inc. 1 Chapter 6 Learning
More information